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Legal Implications Of AI Navigating Patent Law Challenges In The Age Of ML

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Shivam Wadhwa, Amity University Noida


ABSTRACT


This paper examines the legal ramifications of artificial intelligence (AI) in the field of patent law, with a specific emphasis on practical uses and technological benefits. It emphasizes the significance of detecting and eliminating interdependencies among data items in the intricate domain of AI and ML, facilitating concurrent processing, and averting periods of inactivity. The progress of ai has had a substantial impact on patent law, resulting in the creation of laws specifically tailored to AI-related patents. The paper examines the difficulties associated with obtaining patents for AI- related discoveries, with a specific focus on issues related to identifying the inventors and the eligibility of the patents. The study explores issues pertaining to intellectual property, questions about prejudice and fairness, and the need for regulation and governance. The text emphasizes the significance of copyright, patents, trade secrets, and data privacy in safeguarding the progress made in AI and ML. The paper highlights the significance of regulatory frameworks that effectively manage the balance between innovation and user safety. It draws upon ideas from Indian case law and the proposed AI regulatory framework.


Keywords: AI, ML, Patent Law, Intellectual Property, Liability, Accountability, Bias, Fairness, Regulation, governance.

Indian Journal of Law and Legal Research

Abbreviation: IJLLR

ISSN: 2582-8878

Website: www.ijllr.com

Accessibility: Open Access

License: Creative Commons 4.0

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Licensing: 

 

All research articles published in The Indian Journal of Law and Legal Research are fully open access. i.e. immediately freely available to read, download and share. Articles are published under the terms of a Creative Commons license which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

 

Disclaimer:

The opinions expressed in this publication are those of the authors. They do not purport to reflect the opinions or views of the IJLLR or its members. The designations employed in this publication and the presentation of material therein do not imply the expression of any opinion whatsoever on the part of the IJLLR.

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